Python versus R for machine learning and data analysis

Both the Python and R languages have developed robust ecosystems of open source tools and libraries that help data scientists of any skill level more easily perform analytical work.

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Reading Code: Python’s requests library

In preparation for the latest PizzaPY I browsed the code of Python's requests library. (You've got to love open source.) I'm of the opinion that must read lots of code in order to be able to write decent code yourself. The more diverse you read, the bette... (more…)

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Clean architectures in Python: a step-by-step example

One year ago I was introduced by my friend Roberto Ciatti to the concept of Clean Architecture, as it is called by Robert Martin. The well-known Uncle Bob talks a lot about this concept at conferences and wrote some very interesting posts about it. What h...

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Python’s super() considered super

If you aren’t wowed by Python’s super() builtin, chances are you don’t really know what it is capable of doing or how to use it effectively. Much has been written about super() and much of that wri…...

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